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加速4D图像重建用于磁共振引导放射治疗

Bastien Lecoeur^1,2, Marco Barbone^1,2, Jessica Gough³

¹Joint Department of Physics at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, 15 Cotswold Rd, London SM2 5NG, United Kingdom.

Physics and imaging in radiation oncology

|September 4, 2023

概括

高性能计算显著减少了MR指导放射治疗的4D-MRI重建时间. 这一进步使得图像获取速度更快,改善了接受放射治疗的患者的治疗适应性.

科学领域:

医学物理医学物理
放射治疗技术放射治疗技术
图像重建图像的重建

背景情况:

物理运动在外部光束和粒子疗法中复杂化了辐射剂量传递.
四维磁共振成像 (4D-MRI) 提供了优秀的软组织对比度,用于跟踪内部分数运动.
目前的4D-MRI重建时间太长,无法在线适应MR指导放射治疗的治疗.

研究的目的:

使用高性能计算 (HPC) 加快4D-MRI重建时间.
为了使4D-MRI在MR指导放射治疗中的在线适应性工作流程的使用.
探索加速4D-MRI在粒子治疗中的应用.

主要方法:

开发了用于CPU和GPU架构的超维黄金角辐射稀疏平行算法的快速,并行,开源实现.
在1.5T MR-Linac上扫描了四名胰腺腺癌患者,使用辐射星堆梯度回声序.
评估了重建时间,图像质量 (SSIM) 和跨不同架构和捆绑策略的可扩展性.

主要成果:

重建的4D-MRI图像与参考实现高度一致 (SSIM>0.99).
CPU + GPU 实现实现的重建时间为 60 ± 1 秒,比参考速度快 17 倍以上.
使用多个GPU进行超级缩放,进一步减少了重建时间,证明了高效的并行化.

结论:

高性能计算方法可以显著减少呼吸器解析的4D-MRI重建时间.
加速4D-MRI是可行的在线工作流程在MR指导放射治疗.
这项技术有可能通过计算运动来提高粒子治疗的精度.

关键词:

4D-MRI 4D-MRI 4D-MRI 4D-MRI 4D-MRI 4D-MRI 4D-MRI 4D-MRI 4D-MRI 4D-MRI 4D-MRI 高性能计算的高性能计算.内断运动的内断运动.用MR指导的放射治疗.与MR集成的质子疗法.

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